At a Glance
- Tasks: Lead a team to manage and improve investment data processes and governance.
- Company: Join a forward-thinking financial services firm focused on data excellence.
- Benefits: Competitive salary, private medical insurance, 28 days' leave, and a generous pension scheme.
- Other info: Dynamic role with opportunities for professional growth and collaboration.
- Why this job: Shape the future of investment data management and drive impactful outcomes.
- Qualifications: Proven leadership in data analysis within financial services and strong technical skills.
The predicted salary is between 60000 - 80000 £ per year.
We are seeking an experienced Investment Data Manager to lead a high-performing team of DataOps Analysts and play a pivotal role in shaping how investment data is processed, governed, prioritised, and delivered across the business. In this role, you will sit at the centre of our data governance framework and own the end-to-end coordination of the Investment Data Working Group (IDWG) on behalf of the Head of Data Governance. You'll bring structure, clarity, and focus to key data initiatives, ensuring alignment with business priorities and driving meaningful outcomes.
Responsibilities:
- Manage a team of DataOps Analysts.
- Act as a key operational link between Investments, Finance, and the Data Office, ensuring alignment and effective collaboration.
- Drive continuous improvement and automation across investment data management practices.
- Support Data Owners and Stewards in managing, defining, and maintaining high-quality data as part of BAU.
- Partner with IT and external providers to deliver and manage scalable investment data products.
- Contribute to the design and delivery of Investment data products led by the Data Office.
- Strengthen and enhance data quality frameworks to maintain trust in data used across Investments and Finance.
- Maintain robust IDWG governance, including documentation, wiki management, meeting outputs, and action tracking to completion.
Requirements:
- Strong track record of leading Data Analyst teams in Financial Services, with deep expertise in securities and asset data.
- Strong industry expertise across market, pricing, custodial, and positional data, including how it is used within Investments and Finance business functions.
- Deep understanding of fixed income instruments, swaps, derivatives, and their associated data structures.
- Solid grounding in data governance frameworks, policies, and standards.
- Experience with investment platforms (e.g. Aladdin, Murex).
- Familiarity with investment data management platforms such as Lusid, Markit EDM, Golden Source.
- Working knowledge of data governance and lineage tools (e.g. Solidatus, IDQ, Collibra).
- High proficiency in data analysis and reporting tools, including SQL, Python, Excel, Power BI, Cognos, and data quality tooling.
Personal Attributes:
- Excellent stakeholder engagement skills, with the ability to build and maintain strong relationships across business and technology teams.
- Strong analytical capability, able to interpret large data sets, understand end-to-end processes, and identify root causes of data issues (including reviewing underlying code).
- Highly effective at report writing, documentation, and presentations, tailoring outputs to suit different audiences.
Benefits:
In addition to a competitive base salary and the opportunity to participate in our annual, performance-related bonus plan, upon joining us here at Pension Insurance Corporation, you will get access to some great benefits, including private medical insurance, 28 days' annual leave (excluding bank holidays), a generous pension scheme and much more.
Investment Data Manager employer: Pension Insurance Corporation plc
At Pension Insurance Corporation, we pride ourselves on being an exceptional employer, offering a dynamic work environment where innovation and collaboration thrive. As an Investment Data Manager, you will lead a talented team while enjoying comprehensive benefits such as private medical insurance, generous annual leave, and a robust pension scheme, all within a culture that prioritises employee growth and development. Join us in shaping the future of investment data management in a role that promises meaningful impact and rewarding challenges.
Contact Details:
Pension Insurance Corporation plc Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Investment Data Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the finance and data sectors. Attend industry events or webinars where you can meet potential employers or colleagues. Remember, sometimes it’s not just what you know, but who you know that can help you land that Investment Data Manager role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio that highlights your previous projects, especially those related to data governance and management. This will give you an edge during interviews, as you can demonstrate your hands-on experience with investment data products and frameworks.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors in the industry. Focus on articulating your experience with data analysis tools and your leadership skills in managing teams. The more comfortable you are discussing your background, the better you'll perform when it counts.
✨Tip Number 4
Apply through our website! We’ve got a streamlined application process that makes it easy for you to showcase your skills. Plus, it shows us you’re genuinely interested in joining our team. Don’t miss out on the chance to be part of something great!
We think you need these skills to ace Investment Data Manager
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the Investment Data Manager role. Highlight your experience with data governance and team management, and don’t forget to mention any relevant tools you’ve used like SQL or Python.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about investment data management and how your skills align with our needs. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Analytical Skills:Since this role requires strong analytical capabilities, make sure to include examples of how you've interpreted large data sets and resolved data issues in your application. We love seeing real-world applications of your skills!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Pension Insurance Corporation plc
✨Know Your Data Inside Out
As an Investment Data Manager, you need to demonstrate a deep understanding of investment data management practices. Brush up on your knowledge of securities, asset data, and the specific tools mentioned in the job description, like Aladdin and Murex. Be ready to discuss how you've used these in past roles.
✨Showcase Your Leadership Skills
Since you'll be managing a team of DataOps Analysts, it's crucial to highlight your leadership experience. Prepare examples of how you've successfully led teams, driven continuous improvement, and fostered collaboration between different departments. This will show that you're not just a data expert but also a capable leader.
✨Prepare for Stakeholder Engagement Questions
Expect questions about how you engage with stakeholders across business and technology teams. Think of specific instances where you've built strong relationships or resolved conflicts. Being able to articulate your approach to stakeholder management will set you apart from other candidates.
✨Demonstrate Analytical Prowess
Your ability to analyse large data sets and identify root causes of issues is key. Prepare to discuss your analytical methods and tools, such as SQL and Python. You might even be asked to solve a data-related problem on the spot, so practice explaining your thought process clearly and concisely.
